cantor distribution造句

• An example is given by the Cantor distribution.
• In general, conditional distributions need not be singular ( like the Cantor distribution ).
• Certain pathological distributions ( for example, the Cantor distribution ) have no defined mode at all.
• The Cantor distribution has a cumulative distribution function that is continuous but not absolutely continuous, and indeed its absolutely continuous part is zero : it is singular continuous.
• Other distributions may not even be a mix, for example, the Cantor distribution has no positive probability for any single point, neither does it have a density.
• More theoretically, " c " does not have a weak derivative because its distributional derivative, namely the Cantor distribution, is a singular measure and therefore cannot be represented by a function.
• Not every probability distribution has a density function : the distributions of discrete random variables do not; nor does the Cantor distribution, even though it has no discrete component, i . e ., does not assign positive probability to any individual point.